Skip to content
Likelier
Food · reviewed 2026-04-19

What are the odds of getting food poisoning from undercooked meat, fish, or eggs?

Evidence quality 4.75/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 1.6

65% lifetime chance

range 1 in 2.1 to 1 in 1.3

lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.0 1 in 31

● your factors — click this risk ▾ to reveal

≈ As likely as

A meat thermometer inserted into a cut of meat on a plain background, flat vector illustration.

Perceived

Public intuition about undercooking runs on vibes rather than microbiology. Rare steak triggers alarm despite being nearly risk-free for intact cuts; sushi provokes theatrical hand-wringing in people who cheerfully eat runny eggs; and undercooked chicken — the one item that genuinely deserves caution — is routinely served pink-at-the-bone by cooks who assume the color is cosmetic. No cross-national survey isolates the fear of undercooking cleanly from food-safety anxiety in general, so the perceived side here is editorial synthesis rather than polled data.

Rough estimate: Most adults dramatically overestimate the risk from rare steak and sushi while underestimating the risk from pink chicken

Source: editorial intuition, not polled

Actual

~1 in 57 per year (US residents, undercooking-linked foodborne illness)

US residents, all ages, foodborne illness where inadequate cooking temperature was a contributing factor

Show derivation

Starts from CDC's ~48 million domestically acquired foodborne illnesses per year (Scallan et al. 2011). The CDC NORS MMWR analysis for 2014-2022 finds that "inadequate time and temperature during initial cooking/thermal processing" contributed to 9.6-12.1% of outbreaks across the three reporting periods, consistently ranking among the top five contributing factors. We take 12% as the central estimate of the share of US foodborne illness where undercooking is a contributing factor — deliberately excluding the overlapping temperature-abuse categories (holding, cooling) covered in the food-left-unrefrigerated entry. 12% x 48 million = ~5.76 million cases per year, or about 1.75% of the US population per year (~1 in 57). Compounded over 59 years of adult life: 1 - (1 - 0.0175)^59 = 0.645, or about 2 in 3. The uncertainty band runs from 8% contribution (lifetime ~0.47) to 18% (lifetime ~0.79), spanning defensible readings of the NORS data and the underlying Scallan illness total. The vast majority of these are mild gastroenteritis episodes, not hospitalizations or deaths.

Caveats: The headline "~1 in 57 per year / 2 in 3 lifetime" is an aggregate of wildly het…

The headline "~1 in 57 per year / 2 in 3 lifetime" is an aggregate of wildly heterogeneous scenarios. Rare steak from an intact cut is nearly risk-free; pink chicken is a genuine hazard; sushi in a regulated market is safer than most cooked dishes. Almost all counted episodes are mild gastroenteritis self-resolving in 24-72 hours — the fatal subset is covered in the separate food-poisoning-death entry and runs about 1 in 1,860 lifetime. The NORS contributing-factor coding allows multiple factors per outbreak, so "inadequate cooking" often co-occurs with cross-contamination or food-worker hygiene issues; the true share attributable solely to undercooking is genuinely uncertain within the 8-18% band used for the uncertainty calculation. The 1-in-20,000 egg contamination estimate dates from 2000 and likely overstates current risk, since the 2010 FDA Egg Safety Rule imposed testing, refrigeration, and diversion requirements that reduced Salmonella Enteritidis in the regulated egg supply.

Regional breakdown

The headline figure averages across very different populations. Here’s how the probability varies by geography or context:

Region / context Lifetime probability Notes
Sushi/sashimi (regulated US market) 1 in 200 Remarkably safe in regulated markets. US FDA requires commercial sushi-grade fish to be frozen at -20°C for 7 days (or -35°C for 15 hours), which kills parasites including Anisakis. Anisakiasis is not a reportable disease in the US, and estimated cases run under 10 per year nationally — in a country consuming billions of sushi servings. The main residual risk is Vibrio in warm-water species and Salmonella from cross-contamination, not from the raw fish itself. Lifetime probability estimated at ~1 in 200.
Rare/medium-rare beef steak (intact cut) 1 in 333 Pathogens on intact beef muscle are confined to the surface. Searing the exterior to well above 160°F kills surface bacteria even if the interior remains rare (120-130°F). USDA's 145°F guideline with 3-minute rest applies to roasts and steaks; the risk from a properly seared rare steak is vanishingly small. Ground beef is a different story — see below.
Undercooked ground beef (pink hamburger) 1 in 25 Grinding distributes surface bacteria (E. coli O157:H7, Salmonella) throughout the meat. USDA requires 160°F for ground beef — no rest period — because there is no safe interior. CDC links ~265,000 STEC illnesses per year to the US, with ground beef the dominant vehicle. A pink hamburger at a restaurant or backyard grill is the single most common undercooking scenario that actually produces illness.
Undercooked/pink chicken 1 in 13 Chicken is the paradigm case. Campylobacter contaminates up to 47% of retail raw chicken in USDA testing; the infective dose is as low as 500 organisms; and 19-52% of restaurant chicken livers fail to reach the required 165°F core temperature. CDC attributes ~975,000 Campylobacter illnesses per year to chicken alone. The lifetime probability of at least one illness from undercooked poultry for a regular chicken eater is high.
Runny/raw eggs (US, post-Egg Safety Rule) 1 in 50 About 1 in 20,000 US shell eggs carries Salmonella Enteritidis internally (Ebel & Schlosser 2000, likely lower post-2010 Egg Safety Rule). At ~280 eggs consumed per capita per year, a person who eats ~50 undercooked eggs per year has roughly a 0.25% annual chance of encountering a contaminated egg. Clinical illness given exposure depends on bacterial load, which rises with egg age and storage temperature. Pasteurized shell eggs eliminate this risk entirely.

Risks at similar odds

Other risks with roughly the same likelihood — useful for calibration.

food

Food left out

What are the odds of getting food poisoning from eating food left out of the fridge?

food

Raw meat cross-contamination

What are the odds of getting sick from not washing hands or surfaces after handling raw meat or eggs?

food

Food poisoning (US)

What are the odds of dying from food poisoning?

food

Vitamin D gap

What are the odds of vitamin D deficiency if you don't take supplements?

food

Restaurant food poisoning

What are the odds of being hospitalized from food poisoning after eating at a restaurant?

food

Food poisoning (global)

What are the odds of dying from food poisoning (worldwide)?

Health

Infection from sharing food with child

What are the odds of getting a lasting infection from sharing food or drinks with your child?

Compare to:

The asymmetry in how people fear undercooked food is more interesting than the aggregate number. Rare steak — the item most likely to provoke a raised eyebrow at a dinner party — is among the safest things on a plate, because pathogens on intact beef muscle live on the surface and die the moment the exterior hits a hot pan. The USDA’s 145°F guideline for steaks and roasts reflects this; a properly seared rare steak with a cool red center is, in the literature, essentially a non-event. Sushi is the other celebrated panic: FDA-mandated parasite-destruction freezing (-20°C for seven days) means that regulated sushi-grade fish in the United States arrives at the table already sterilized of the Anisakis worms that drive the fear. Confirmed US anisakiasis cases run in the single digits per year, in a market serving billions of pieces of raw fish. Meanwhile, Campylobacter — the most common bacterial cause of foodborne diarrheal illness in the country, at 1.5 million cases per year — contaminates up to 47% of retail raw chicken, has an infective dose as low as 500 organisms, and survives in 48-98% of chicken livers that fail to reach 165°F. Pink chicken is the quiet heavyweight of undercooking risk, and the one most likely to be shrugged off as a cosmetic issue.

The CDC’s National Outbreak Reporting System finds that “inadequate time and temperature during initial cooking” contributed to roughly 10-12% of reported US foodborne outbreaks between 2014 and 2022 — consistently a top-five contributing factor. Apply that share to Scallan’s 48-million-illness-per-year estimate and you get about 5-6 million undercooking-linked illnesses annually, or roughly 1 in 57 Americans per year. Compounded over a typical adult lifetime, the probability that a US adult will eventually eat something inadequately cooked and pay for it is about 2 in 3. That sounds dramatic until you note that the vast majority of those episodes are a day or two of gastrointestinal misery, not a hospital visit — the fatal fraction is covered separately and runs about 1 in 1,860 lifetime across all foodborne causes.

The ground-beef burger is the middle child of undercooking risk: not as feared as sushi, not as ignored as chicken, but mechanically the most straightforward hazard to explain. Grinding a steak takes surface bacteria — including E. coli O157:H7 — and distributes them throughout the interior, which is why USDA sets ground beef at 160°F with no rest period while intact steaks get 145°F with a three-minute rest. A pink hamburger at a backyard grill is the single most common undercooking scenario that the epidemiology actually connects to illness. Eggs occupy yet another niche: about 1 in 20,000 US shell eggs carries Salmonella Enteritidis internally, a rate that has likely fallen further since the 2010 Egg Safety Rule, making a runny yolk a genuinely low-probability gamble — but not zero, and not helped by the fact that the contaminated egg looks, smells, and tastes indistinguishable from a clean one.

About 65% of people will get sick from undercooked food over a lifetime. Dying from food poisoning is roughly 1 in 1,860. The gap between misery and mortality is enormous.

Read more → ⇄ compare

Sushi-grade fish is flash-frozen to kill parasites and causes fewer foodborne illnesses than undercooked chicken or ground beef. People fear the raw fish and trust the pink chicken.

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] CDC Morbidity and Mortality Weekly Report (MMWR) Surveillance Summaries — Contributing Factors of Foodborne Illness Outbreaks — National Outbreak Reporting System, United States, 2014–2022
    Contributing Factors of Foodborne Illness Outbreaks — National Outbreak Reporting System, United States, 2014–2022

    See all 3 Likelier entries citing this source →

    Statistic
    Among 2,677 foodborne outbreaks 2014-2022, 'inadequate time and temperature during initial cooking/thermal processing' contributed to 12.1%, 9.6%, and 12.1% across the three reporting periods; consistently a top-five contributing factor
    Excerpt
    “"Inadequate time and temperature control during initial cooking of food was among the top five contributing factors during all three periods (23.8 percent, 20.4 percent, and 20.9 percent, respectively) [broader category]. More specifically, the proportion of outbreaks associated with inadequate time and temperature control during initial cooking/thermal processing of food decreased from the first (12.1 percent) to the second period (9.6 percent), and increased during the third period (12.1 percent)." ”
    Source data from
    2025-03-13
    Accessed
    2026-04-19 · archived copy
    Calculation
    The NORS MMWR report is the primary source for the 12% central estimate. The broader "inadequate time and temperature during cooking" category runs 20-24%, but this includes holding and display temperatures, which overlap with the food-left-unrefrigerated entry. The narrower "initial cooking/thermal processing" subcategory (9.6-12.1%) isolates the undercooking contribution. Applied to Scallan's 48 million illnesses/year: 0.12 x 48e6 = 5.76 million cases/year, or ~1.75% of the US population annually. Over 59 adult-remaining years: 1 - (1 - 0.0175)^59 = 0.645.
    Independence
    NORS is a CDC surveillance system drawing on state/local outbreak reporting. Methodologically linked to FoodNet and Scallan estimates but provides the contributing-factor breakdown those sources lack.
  2. [2] US Centers for Disease Control and Prevention — About Food Safety
    About Food Safety

    See all 4 Likelier entries citing this source →

    Statistic
    CDC estimates 48 million illnesses, 128,000 hospitalizations, and 3,000 deaths per year from foodborne illness in the US
    Excerpt
    “"CDC estimates that each year 48 million people get sick from a foodborne illness, 128,000 are hospitalized, and 3,000 die." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    Provides the denominator for the normalized figure. 48 million illnesses / 330 million US residents = ~14.5% of Americans per year experience a foodborne illness from any cause. Multiplied by the ~12% share attributable to undercooking (NORS) gives the ~1.75% per year figure compounded in the normalization.
    Independence
    Restates Scallan et al. 2011; not independent of the NORS contributing-factors analysis.
  3. [3] US Department of Agriculture, Food Safety and Inspection Service — Safe Minimum Internal Temperature Chart
    Safe Minimum Internal Temperature Chart
    Statistic
    Poultry: 165°F; ground meats: 160°F; steaks/roasts/fish: 145°F with 3-minute rest; eggs: cook until yolk and white are firm
    Excerpt
    “"All Poultry (breasts, whole bird, legs, thighs, wings, ground poultry, giblets, and sausage): 165 °F. Ground meats: 160 °F. Beef, Pork, Veal & Lamb (Steaks, chops, roasts): 145 °F and allow to rest for at least 3 minutes. Fish: 145 °F. Eggs: Cook until yolk and white are firm." ”
    Source data from
    2024-05-29
    Accessed
    2026-04-19 · archived copy
    Calculation
    Defines the regulatory baseline for "undercooked." Anything below these temperatures is what the NORS coding of "inadequate cooking/thermal processing" references. The gap between steak (145°F) and poultry (165°F) reflects the surface-only vs throughout contamination difference that makes rare steak defensibly safe while rare chicken is not.
    Independence
    FSIS sets the regulatory standard; CDC surveillance measures compliance against it. Upstream of the NORS coding system.
  4. [4] Emerging Infectious Diseases / CDC — Restaurant Cooking Trends and Increased Risk for Campylobacter Infection
    Restaurant Cooking Trends and Increased Risk for Campylobacter Infection
    Statistic
    Eating undercooked chicken is the principal source of Campylobacter infection; CDC estimates 1.5 million US Campylobacter illnesses per year, with ~65% attributed to chicken
    Excerpt
    “"Studies of outbreaks and sporadic cases have identified the principal source of infection as undercooked chicken meat. Campylobacter jejuni/coli can cause food poisoning when present in very small numbers. An estimated 19%-52% of chicken livers served in commercial food establishments fail to reach a core temperature of 70°C and could have Campylobacter survival rates of 48%-98%." ”
    Source data from
    2016-06-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    Establishes that Campylobacter, the most common bacterial cause of foodborne illness in the US (1.5 million cases/year), is overwhelmingly driven by undercooked poultry. The infective dose is as low as 500 organisms. Used to support the chicken-specific row in the regional breakdown. With ~65% of Campylobacter attributed to chicken (IFSAC 2019 source attribution), that is ~975,000 chicken-Campylobacter cases/year.
    Independence
    Peer-reviewed CDC study focused on restaurant cooking practices. Draws on FoodNet surveillance data but provides independent analysis of cooking-temperature compliance and risk.
  5. [5] International Journal of Food Microbiology / Ebel & Schlosser — Estimating the annual fraction of eggs contaminated with Salmonella enteritidis in the United States
    Estimating the annual fraction of eggs contaminated with Salmonella enteritidis in the United States
    Statistic
    Approximately 1 in 20,000 US shell eggs is internally contaminated with Salmonella Enteritidis; ~2.3 million SE-contaminated eggs reach consumers annually
    Excerpt
    “"The expected value of this distribution is approximately one SE-affected egg in every 20,000 eggs annually produced, and the 90% certainty interval is between one SE-contaminated egg in 30,000 eggs, and one SE-contaminated egg in 12,000 eggs." ”
    Source data from
    2000-11-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    The 1-in-20,000 egg contamination rate is the basis for the runny-egg risk estimate. Americans consume ~280 eggs per capita per year, so a person eating ~50 runny or undercooked eggs per year faces ~50/20,000 = 0.0025 chance per year of encountering a contaminated egg, and only a fraction of those exposures produce clinical illness (dose-response depends on bacterial load, which increases with storage time and temperature). Used for the egg row in the regional breakdown.
    Independence
    Independent USDA-commissioned risk assessment. Pre-dates the 2010 Egg Safety Rule (21 CFR 118), which likely reduced contamination rates further, making this estimate conservative.

412 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Visa overstay deportation — 1 in 5.6 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Drug overdose — 1 in 42 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 108 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 694 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 313 Homicide — 1 in 287 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Fatal bee/wasp sting — 1 in 76,923 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Railroad crossing death — 1 in 20,704 Child bike trailer — 1 in 14,286 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238